Skeleton-based human action recognition with context awareness

Xiaodong Tu; Yu Chen; Liujun Wang; Yong Wang; Qian Li

doi:10.1117/12.2674846

2 May 2023 Skeleton-based human action recognition with context awareness

Xiaodong Tu, Yu Chen, Liujun Wang, Yong Wang, Qian Li

Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 1264231 (2023) https://doi.org/10.1117/12.2674846
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China

Abstract

Human action recognition is the process of automatically recognizing human activities in digital video sequences. It is an important research topic in computer vision, particularly in the field of video surveillance. Conventional approaches for skeleton-based action recognition mainly focus on modeling the temporal evolution of the skeleton data, while not taking the contextual information of the scene into consideration. In this paper, we propose a novel human action recognition framework with context awareness: YOLOv5 is used for context recognition first, then the obtained information is integrated with ST-GCN for skeleton-based behavior recognition. Experimental results show the superiority of our algorithm over ST-GCN alone in industrial scenes.

Citation Download Citation

Xiaodong Tu, Yu Chen, Liujun Wang, Yong Wang, and Qian Li "Skeleton-based human action recognition with context awareness", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 1264231 (2 May 2023); https://doi.org/10.1117/12.2674846

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KEYWORDS

Action recognition

Object detection

Video

Target detection

Video surveillance

Feature extraction

Data modeling

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